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Dynamic Load Balancing in Grid Computational Environment using Ant Algorithm

Published on August 2016 by Sugandha Satija
journal_cover_thumbnail

Advanced Computing and Information Technology
Foundation of Computer Science USA
TACIT2016 - Number 1
August 2016
Authors: Sugandha Satija
063aab26-f300-49e5-be04-be942e192667

Sugandha Satija . Dynamic Load Balancing in Grid Computational Environment using Ant Algorithm. Advanced Computing and Information Technology. TACIT2016, 1 (August 2016), 1-3.

@article{
author = { Sugandha Satija },
title = { Dynamic Load Balancing in Grid Computational Environment using Ant Algorithm },
journal = { Advanced Computing and Information Technology },
issue_date = { August 2016 },
volume = { TACIT2016 },
number = { 1 },
month = { August },
year = { 2016 },
issn = 0975-8887,
pages = { 1-3 },
numpages = 3,
url = { /proceedings/tacit2016/number1/25827-it32/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Advanced Computing and Information Technology
%A Sugandha Satija
%T Dynamic Load Balancing in Grid Computational Environment using Ant Algorithm
%J Advanced Computing and Information Technology
%@ 0975-8887
%V TACIT2016
%N 1
%P 1-3
%D 2016
%I International Journal of Computer Applications
Abstract

Load Balancing is one of the major issues in computational Grids. Research has proved that load balancing on Grid Computational Environment is best solved by Heuristic approach. The main motive behind load balancing is to equally spread the load on each node of the Grid. In this paper, ASRank (Rank based Ant system) is proposed to provide shortest path from PE (Processing element) to RN (Resource node) while balancing the load on each RN. ASRank will determine the best resource to be allocated to the jobs, based on their paths as well as their load. ASRank reads the pheromone value, such that solutions with shorter paths will have higher pheromone value. This pheromone value is used by other PE's with the help of a process named as Stigmergy, to reach to the RN. This will maximize the efficiency of the Grid and will result in high throughput. Thus, it increases the performance in the Grid Computational Environment.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Grid Computing Load Balancing Asrank Ant Algorithm Processing Element Resource Node Stigmergy Pheromone Value